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Firebirds
GP: 13 | W: 10 | L: 3 | OTL: 0 | P: 20
GF: 66 | GA: 47 | PP%: 20.69% | PK%: 82.69%
DG: Guy Fortin | Morale : 49 | Moyenne d’équipe : 66
Prochains matchs #209 vs Roadrunners

Centre de jeu
Wolfpack
8-5-2, 18pts
2
4 Firebirds
10-3-0, 20pts
Team Stats
OTL1SéquenceW2
5-2-1Fiche domicile6-2-0
3-3-1Fiche domicile4-1-0
4-4-2Derniers 10 matchs7-3-0
4.00Buts par match 5.08
4.13Buts contre par match 3.62
21.54%Pourcentage en avantage numérique20.69%
82.54%Pourcentage en désavantage numérique82.69%
Firebirds
10-3-0, 20pts
6
2 Roadrunners
6-7-2, 14pts
Team Stats
W2SéquenceL1
6-2-0Fiche domicile4-4-0
4-1-0Fiche domicile2-3-2
7-3-0Derniers 10 matchs4-5-1
5.08Buts par match 3.60
3.62Buts contre par match 4.33
20.69%Pourcentage en avantage numérique28.57%
82.69%Pourcentage en désavantage numérique87.27%
Roadrunners
6-7-2, 14pts
Jour 35
Firebirds
10-3-0, 20pts
Statistiques d’équipe
L1SéquenceW2
4-4-0Fiche domicile6-2-0
2-3-2Fiche visiteur4-1-0
4-5-110 derniers matchs7-3-0
3.60Buts par match 5.08
4.33Buts contre par match 5.08
28.57%Pourcentage en avantage numérique20.69%
87.27%Pourcentage en désavantage numérique82.69%
Firebirds
10-3-0, 20pts
Jour 38
Gulls
11-4-1, 23pts
Statistiques d’équipe
W2SéquenceOTW1
6-2-0Fiche domicile5-2-0
4-1-0Fiche visiteur6-2-1
7-3-010 derniers matchs8-2-0
5.08Buts par match 5.00
3.62Buts contre par match 5.00
20.69%Pourcentage en avantage numérique23.53%
82.69%Pourcentage en désavantage numérique79.41%
Icehogs
6-6-2, 14pts
Jour 39
Firebirds
10-3-0, 20pts
Statistiques d’équipe
OTL1SéquenceW2
3-3-2Fiche domicile6-2-0
3-3-0Fiche visiteur4-1-0
4-4-210 derniers matchs7-3-0
4.07Buts par match 5.08
4.79Buts contre par match 5.08
26.32%Pourcentage en avantage numérique20.69%
71.67%Pourcentage en désavantage numérique82.69%
Meneurs d'équipe
Buts
Rostislav Olesz
12
Passes
Rostislav Olesz
13
Points
Rostislav Olesz
25
Plus/Moins
Jacob De La Rose
14
Victoires
Cayden Primeau
8
Pourcentage d’arrêts
Cayden Primeau
0.891

Statistiques d’équipe
Buts pour
66
5.08 GFG
Tirs pour
441
33.92 Avg
Pourcentage en avantage numérique
20.7%
12 GF
Début de zone offensive
37.5%
Buts contre
47
3.62 GAA
Tirs contre
419
32.23 Avg
Pourcentage en désavantage numérique
82.7%%
9 GA
Début de la zone défensive
37.5%
Informations de l'équipe

Directeur généralGuy Fortin
EntraîneurPaul Maurice
DivisionMax-Sillig
ConférenceLouis-Magnus
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,803
Billets de saison300


Informations de la formation

Équipe Pro36
Équipe Mineure20
Limite contact 56 / 250
Espoirs0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Jacob De La RoseX100.007423887382857468727875797570534152740253950,000$
2Jared McCann (R)X100.007238827582766974727774747760564052730242900,000$
3Rostislav OleszX100.007135727574787570687474696884801352720351750,000$
4Eric RobinsonX100.006930807776797673696977587270563752710251850,000$
5Thomas SpellingX100.007431837071757878657078647267632552710271950,000$
6Fredrik Olofsson (R)X100.007842687570648176717769676657523752700241800,000$
7Alex HenrikssonX100.007232767266667571677672667454513152690252750,000$
8Garret Pilon (R)X100.007039787474727571736972646948474452690222900,000$
9Wade Allison (R)X100.006629837572737675706878556855504052690232700,000$
10Jasper Weatherby (R)X100.007650767275587769616873686050465339680222700,000$
11Maksim Sushko (R)X100.006023846269747272676079536945465552650213500,000$
12Matej Blumel (R)X100.005034807562626169716868576945436052640201500,000$
13Victor Mete (R)X100.006236798372707978538368766061485352720221800,000$
14Dylan Coghlan (R)X100.006729917071727868557863806159485152720222750,000$
15Jacob Bryson (R)X100.006434767667647084428555714955503952700233750,000$
16Mac Hollowell (R)X100.007145836968786863557362776460475552700221600,000$
17Connor CliftonX100.006735806968757066717163765858543552690251750,000$
18Matthew Kiersted (R)X100.006136916872677163427351735052494332670221650,000$
Rayé
1Jonah Gadjovich (R)X100.006941747482587877656476606447495027680222700,000$
2Sasha Chmelevski (R)X100.005829747052607464787967445543435527630211550,000$
3Artur Kayumov (R)X100.006953846061666565596862557044444627630222800,000$
4Parker Kelly (R)X100.006725765765606771676570456445454327620211500,000$
5Nikita Alexandrov (R)X100.004836727150725781706362497644436127620201500,000$
6Stelio Mattheos (R)X100.006036806758646864576058626745454727610214500,000$
7Bobby Brink (R)X100.004426666563605960494670396041415827550191500,000$
8Thomas Bordeleau (R)X100.005029695552506055686648375140407127520182500,000$
9Valentin Nussbaumer (R)X100.005536715244595742475442494444434727500201500,000$
10Jacob Middleton (R)X100.006749746971755960397455694553503427670242500,000$
11Kristians Rubins (R)X100.006044806863636066306553794949494227660233600,000$
12Kyle Capobianco (R)X100.006036797454646070467057645147473527630233500,000$
13Emil Andrae (R)X100.006220775051545653215745623740407127560182500,000$
14Maxence Guenette (R)X100.004434616551557068226049642841416827560191500,000$
15Helge Grans (R)X100.004333705839396258336953634440406527540182500,000$
MOYENNE D’ÉQUIPE100.00633577696566696857696463605248474065
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Cayden Primeau99.00777778777377797272716953475956730211900,000$
2Magnus Hellberg100.00736663746671657070717371682356690292850,000$
Rayé
1Jakub Skarek100.00765864757761596564527543465236640214600,000$
MOYENNE D’ÉQUIPE99.6775676875727068696965725654454969
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Paul Maurice73946168788261Can532500,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Rostislav OleszFirebirds (Sea)LW131213259240191245173026.67%428922.265389450004310068.75%1689011.7300000210
2Thomas SpellingFirebirds (Sea)RW1310132310100221360132516.67%425319.53167845000003137.04%27112011.8100000210
3Jacob De La RoseFirebirds (Sea)C13712191400203333112521.21%929822.930111370112452049.41%42173001.2700000111
4Jared McCannFirebirds (Sea)C1391019820212245122720.00%924018.4732512411016320155.10%19652001.5800000112
5Victor MeteFirebirds (Sea)D1321012-2801318221189.09%1426620.51156747000031000%0410000.9000000100
6Wade AllisonFirebirds (Sea)RW13751280018835141520.00%120615.87101339000003154.55%1123001.1600000022
7Fredrik OlofssonFirebirds (Sea)LW1374110802094261516.67%316612.84000220002241033.33%673001.3200000101
8Eric RobinsonFirebirds (Sea)LW13371061602117325169.38%320715.96112537000060037.50%892000.9600000111
9Jakub ZborilKrakenD1101010480162321690%1828826.24022237011037000%0129000.6900000000
10Jacob BrysonFirebirds (Sea)D13178810061411449.09%617813.760000100003000%045000.8900000000
11Alex HenrikssonFirebirds (Sea)LW13246-420209166512.50%21229.46011000000230033.33%671000.9800000000
12Garret PilonFirebirds (Sea)C13336-2601892481412.50%31239.5200000000000047.54%6151000.9700000000
13Dylan CoghlanFirebirds (Sea)D13156940111618685.56%2333025.41011138000044000%0519000.3600000000
14Connor CliftonFirebirds (Sea)D1305570018157710%1021516.58000029000010000%048000.4600000000
15Reid BoucherKrakenC51453001870514.29%15511.1900005000011048.57%3531001.7900000000
16Mac HollowellFirebirds (Sea)D13022-2209201340%1222517.3600006000034000%027000.1800000000
17Matej BlumelFirebirds (Sea)RW13112-3406672414.29%1937.17000010000000100.00%121000.4300000000
18Maksim SushkoFirebirds (Sea)RW130111008107250%313510.4400000000000033.33%330000.1500000000
19Jasper WeatherbyFirebirds (Sea)C8000-500646030%3607.5400000000030033.33%242000000000000
20Matthew KierstedFirebirds (Sea)D2000500642110%45427.0300011000005000%01200000000000
Statistiques d’équipe totales ou en moyenne2346611618274104027927044113422414.97%133381316.30122234514291231433510349.82%81510388020.9500000977
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Cayden PrimeauFirebirds (Sea)108200.8913.405820033304146000094010
2Magnus HellbergFirebirds (Sea)42100.8784.24198001411553000049001
Statistiques d’équipe totales ou en moyenne1410300.8883.6178100474191990001313011


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alex HenrikssonFirebirds (Sea)LW251995-01-01SWENo185 Lbs6 ft2NoNoFree AgentNoNo22025-10-27FalseFalsePro & Farm750,000$607,988$0$0$No750,000$--------750,000$--------No--------Lien
Artur KayumovFirebirds (Sea)LW221998-01-01RUSYes176 Lbs5 ft11NoNoFree Agent2024-07-10NoNo22025-09-30FalseFalsePro & Farm800,000$648,521$0$0$No800,000$--------800,000$--------No--------Lien
Bobby BrinkFirebirds (Sea)RW192001-01-01USAYes170 Lbs5 ft8NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Cayden PrimeauFirebirds (Sea)G211999-01-01USANo203 Lbs6 ft3NoNoFree AgentNoNo12024-09-24FalseFalsePro & Farm900,000$729,586$0$0$No---------------------------Lien
Connor CliftonFirebirds (Sea)D251995-01-01USANo185 Lbs5 ft11NoNoTrade2025-09-06NoNo12024-08-20FalseFalsePro & Farm750,000$607,988$0$0$No---------------------------Lien
Dylan CoghlanFirebirds (Sea)D221998-01-01CANYes190 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm750,000$607,988$0$0$No750,000$--------750,000$--------No--------Lien
Emil AndraeFirebirds (Sea)D182002-01-01SWEYes181 Lbs5 ft9NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Eric RobinsonFirebirds (Sea)LW251995-01-01USANo197 Lbs6 ft2NoNoFree AgentNoNo12024-09-24FalseFalsePro & Farm850,000$689,053$0$0$No---------------------------Lien
Fredrik OlofssonFirebirds (Sea)LW241996-01-01USAYes204 Lbs6 ft2NoNoFree AgentNoNo12024-09-24FalseFalsePro & Farm800,000$648,521$0$0$No---------------------------Lien
Garret PilonFirebirds (Sea)C221998-01-01USAYes187 Lbs5 ft11NoNoFree Agent2025-01-04NoNo22025-09-30FalseFalsePro & Farm900,000$729,586$0$0$No900,000$--------900,000$--------No--------Lien
Helge GransFirebirds (Sea)D182002-01-01SWEYes185 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Jacob BrysonFirebirds (Sea)D231997-01-01CANYes175 Lbs5 ft9NoNoTrade2025-09-06NoNo32024-09-07FalseFalsePro & Farm750,000$607,988$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Jacob De La RoseFirebirds (Sea)C251995-01-01SWENo185 Lbs6 ft2NoNoTrade2025-09-06NoNo32024-08-21FalseFalsePro & Farm950,000$770,118$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Jacob MiddletonFirebirds (Sea)D241996-01-01CANYes214 Lbs6 ft3NoNoFree AgentNoNo22024-09-24FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------Lien
Jakub SkarekFirebirds (Sea)G211999-01-01CZENo205 Lbs6 ft3NoNoFree Agent2024-07-10NoNo42025-09-30FalseFalsePro & Farm600,000$486,391$0$0$No600,000$600,000$600,000$------600,000$600,000$600,000$------NoNoNo------Lien
Jared McCannFirebirds (Sea)C241996-01-01CANYes185 Lbs6 ft1NoNoTrade2025-09-06NoNo22025-08-30FalseFalsePro & Farm900,000$729,586$0$0$No900,000$--------900,000$--------No--------Lien
Jasper WeatherbyFirebirds (Sea)C221998-01-01USAYes222 Lbs6 ft4NoNoFree AgentNoNo22025-09-30FalseFalsePro & Farm700,000$567,456$0$0$No700,000$--------700,000$--------No--------Lien
Jonah GadjovichFirebirds (Sea)LW221998-01-01CANYes209 Lbs6 ft2NoNoFree AgentNoNo22024-09-24FalseFalsePro & Farm700,000$567,456$0$0$No700,000$--------700,000$--------No--------Lien
Kristians RubinsFirebirds (Sea)D231997-01-01LVAYes227 Lbs6 ft5NoNoTrade2025-09-06NoNo32024-09-17FalseFalsePro & Farm600,000$486,391$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------Lien
Kyle CapobiancoFirebirds (Sea)D231997-01-01CANYes196 Lbs6 ft1NoNoFree AgentNoNo32024-09-24FalseFalsePro & Farm500,000$405,325$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Mac HollowellFirebirds (Sea)D221998-01-01CANYes170 Lbs5 ft9NoNoFree Agent2025-03-30NoNo12025-09-30FalseFalsePro & Farm600,000$486,391$0$0$No---------------------------Lien
Magnus HellbergFirebirds (Sea)G291991-01-01SWENo185 Lbs6 ft5NoNoFree Agent2025-03-30NoNo22025-09-30FalseFalsePro & Farm850,000$689,053$0$0$No850,000$--------850,000$--------No--------Lien
Maksim SushkoFirebirds (Sea)RW211999-01-01BLRYes206 Lbs6 ft0NoNoFree AgentNoNo32024-09-24FalseFalsePro & Farm500,000$405,325$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Matej BlumelFirebirds (Sea)RW202000-01-01CZEYes201 Lbs6 ft0NoNoTrade2024-09-01NoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Matthew KierstedFirebirds (Sea)D221998-01-01CANYes181 Lbs6 ft0NoNoFree AgentNoNo12024-09-24FalseFalsePro & Farm650,000$526,923$0$0$No---------------------------Lien
Maxence GuenetteFirebirds (Sea)D192001-01-01CANYes181 Lbs6 ft1NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Nikita AlexandrovFirebirds (Sea)C202000-01-01DEUYes176 Lbs6 ft1NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Parker KellyFirebirds (Sea)LW211999-01-01CANYes188 Lbs6 ft0NoNoFree AgentNoNo12024-09-24FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Rostislav OleszFirebirds (Sea)LW351985-01-01CZENo214 Lbs6 ft1NoNoFree Agent2025-04-05NoNo12025-10-26FalseFalsePro & Farm750,000$607,988$0$0$No---------------------------Lien
Sasha ChmelevskiFirebirds (Sea)C211999-01-01USAYes188 Lbs6 ft0NoNoFree AgentNoNo12024-09-24FalseFalsePro & Farm550,000$445,858$0$0$No---------------------------Lien
Stelio MattheosFirebirds (Sea)RW211999-01-01CANYes200 Lbs6 ft1NoNoFree AgentNoNo42025-09-30FalseFalsePro & Farm500,000$405,325$0$0$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien
Thomas BordeleauFirebirds (Sea)C182002-01-01USAYes175 Lbs5 ft10NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Thomas SpellingFirebirds (Sea)RW271993-01-01DNKNo176 Lbs6 ft1NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm950,000$770,118$0$0$No---------------------------Lien
Valentin NussbaumerFirebirds (Sea)C202000-01-01CHEYes174 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Victor MeteFirebirds (Sea)D221998-01-01CANYes183 Lbs5 ft9NoNoFree AgentNoNo12024-09-24FalseFalsePro & Farm800,000$648,521$0$0$No---------------------------Lien
Wade AllisonFirebirds (Sea)RW231997-01-01CANYes205 Lbs6 ft2NoNoFree AgentNoNo22025-09-30FalseFalsePro & Farm700,000$567,456$0$0$No700,000$--------700,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3622.47191 Lbs6 ft11.81668,056$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rostislav OleszJacob De La RoseThomas Spelling40023
2Eric RobinsonJared McCannWade Allison30023
3Fredrik OlofssonGarret PilonMaksim Sushko20023
4Alex HenrikssonJasper WeatherbyMatej Blumel10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew KierstedDylan Coghlan40122
2Victor MeteMac Hollowell30122
3Jacob BrysonConnor Clifton20122
4Jacob BrysonConnor Clifton10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rostislav OleszJared McCannThomas Spelling55014
2Eric RobinsonJacob De La RoseWade Allison45014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew KierstedVictor Mete55014
2Dylan CoghlanConnor Clifton45014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jacob De La RoseRostislav Olesz55140
2Jared McCannFredrik Olofsson45140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew KierstedDylan Coghlan55140
2Victor MeteMac Hollowell45140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jasper Weatherby55140Victor MeteMac Hollowell55140
2Garret Pilon45140Jacob BrysonConnor Clifton45140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jacob De La RoseWade Allison55122
2Rostislav OleszAlex Henriksson45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew KierstedDylan Coghlan55122
2Victor MeteMac Hollowell45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rostislav OleszJared McCannWade AllisonMatthew KierstedDylan Coghlan
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Fredrik OlofssonJacob De La RoseThomas SpellingDylan CoghlanMac Hollowell
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Eric Robinson, Fredrik Olofsson, Alex HenrikssonFredrik Olofsson, Maksim SushkoAlex Henriksson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jacob Bryson, Connor Clifton, Victor MeteJacob BrysonConnor Clifton, Victor Mete
Tirs de pénalité
Jacob De La Rose, Jared McCann, Rostislav Olesz, Eric Robinson, Thomas Spelling
Gardien
#1 : Magnus Hellberg, #2 : Cayden Primeau
Lignes d’attaque personnalisées en prolongation
Jacob De La Rose, Jared McCann, Rostislav Olesz, Eric Robinson, Thomas Spelling, Maksim Sushko, Fredrik Olofsson, Alex Henriksson, Garret Pilon, Wade Allison
Lignes de défense personnalisées en prolongation
Matthew Kiersted, Dylan Coghlan, Victor Mete, Mac Hollowell, Jacob Bryson


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Barracuda11000000743110000007430000000000021.0007111800222319238170148120329912212150.00%6350.00%015730551.48%14030545.90%10920353.69%280159270120230117
2Checkers22000000954110000005321100000042241.0009142300222319258170148120365141452400.00%7185.71%015730551.48%14030545.90%10920353.69%280159270120230117
3Gulls302010001316-320101000111101010000025-320.333132437002223192110170148120310532205817423.53%10280.00%015730551.48%14030545.90%10920353.69%280159270120230117
4Marlies11000000734110000007340000000000021.0007121900222319244170148120334122277228.57%10100.00%015730551.48%14030545.90%10920353.69%280159270120230117
5Penguins3110100012111201010007701100000054140.6671223350022231929617014812038735346214321.43%17288.24%115730551.48%14030545.90%10920353.69%280159270120230117
6Roadrunners11000000624000000000001100000062421.00061117002223192341701481203321010218112.50%5180.00%015730551.48%14030545.90%10920353.69%280159270120230117
7Wolfpack11000000422110000004220000000000021.000471100222319228170148120329114215120.00%20100.00%015730551.48%14030545.90%10920353.69%280159270120230117
8Wranglers11000000844000000000001100000084421.000814220022231923317014812033810817100.00%40100.00%015730551.48%14030545.90%10920353.69%280159270120230117
Total138302000664719842020004130115410000025178200.769661161820022231924411701481203419133104279581220.69%52982.69%115730551.48%14030545.90%10920353.69%280159270120230117
_Since Last GM Reset138302000664719842020004130115410000025178200.769661161820022231924411701481203419133104279581220.69%52982.69%115730551.48%14030545.90%10920353.69%280159270120230117
_Vs Conference127302000604515842020004130114310000019154180.75060105165002223192407170148120338712394258501122.00%47882.98%115730551.48%14030545.90%10920353.69%280159270120230117
_Vs Division833020003432251202000232123210000011110100.6253461950022231922641701481203257816817235720.00%34585.29%115730551.48%14030545.90%10920353.69%280159270120230117

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1320W26611618244141913310427900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
138320006647
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
84220004130
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
54100002517
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
581220.69%52982.69%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
17014812032223192
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
15730551.48%14030545.90%10920353.69%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
280159270120230117


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
14Penguins5Firebirds6WXSommaire du match
530Checkers3Firebirds5WSommaire du match
853Gulls4Firebirds5WXSommaire du match
1067Firebirds4Checkers2WSommaire du match
1279Barracuda4Firebirds7WSommaire du match
1596Firebirds5Penguins4WSommaire du match
16101Firebirds2Gulls5LSommaire du match
17109Marlies3Firebirds7WSommaire du match
20130Penguins2Firebirds1LSommaire du match
23144Firebirds8Wranglers4WSommaire du match
25159Gulls7Firebirds6LSommaire du match
29183Wolfpack2Firebirds4WSommaire du match
31191Firebirds6Roadrunners2WSommaire du match
35209Roadrunners-Firebirds-
38230Firebirds-Gulls-
39235Icehogs-Firebirds-
42256Firebirds-Senators-
43261Barracuda-Firebirds-
46278Firebirds-Punishers-
47286Wolfpack-Firebirds-
50306Firebirds-Thunderbirds-
51313Barracuda-Firebirds-
55339Bears-Firebirds-
57350Firebirds-Eagles-
59365Roadrunners-Firebirds-
60369Firebirds-Checkers-
61381Firebirds-Wolfpack-
63392Griffins-Firebirds-
65408Firebirds-Penguins-
67419Punishers-Firebirds-
70438Firebirds-Roadrunners-
71445Thunderbirds-Firebirds-
74465Firebirds-Admirals-
75470Penguins-Firebirds-
78487Firebirds-Barracuda-
79496Eagles-Firebirds-
82515Firebirds-Gulls-
84523Gulls-Firebirds-
87543Firebirds-Moose-
88550Americans-Firebirds-
91573Senators-Firebirds-
93586Firebirds-Wolfpack-
95598Firebirds-Americans-
96601Rockets-Firebirds-
99618Firebirds-Islander-
100627Wranglers-Firebirds-
102643Firebirds-Marlies-
103652Little Stars-Firebirds-
106671Firebirds-Bears-
107679Firebirds-Condors-
108681Rockets-Firebirds-
111704Firebirds-Crunch-
112707Islander-Firebirds-
116731Penguins-Firebirds-
119751Firebirds-Penguins-
120756Checkers-Firebirds-
123773Firebirds-Canucks-
124783Canucks-Firebirds-
128807Condors-Firebirds-
131825Firebirds-Barracuda-
132833Crunch-Firebirds-
135848Firebirds-Icehogs-
136856Firebirds-Little Stars-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
137861Admirals-Firebirds-
140884Marlies-Firebirds-
141887Firebirds-Griffins-
145911Checkers-Firebirds-
146916Firebirds-Griffins-
149933Firebirds-Wranglers-
150939Crunch-Firebirds-
153956Firebirds-Bears-
154964Moose-Firebirds-
158988Firebirds-Little Stars-
159990Comets-Firebirds-
160998Firebirds-Checkers-
1611001Firebirds-Comets-
1631016Comets-Firebirds-
1641024Firebirds-Eagles-
1671039Firebirds-Comets-
1681040Firebirds-Rockets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance14,9237,502
Assistance PCT93.27%93.78%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 2803 - 93.44% 176,491$1,411,924$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
603,545$ 2,405,000$ 2,405,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
14,231$ 508,881$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,647,696$ 137 17,189$ 2,354,893$




Firebirds Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Firebirds Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Firebirds Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Firebirds Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Firebirds Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA